About Publications Personal Contact
I am a Senior Software Engineer at Berkshire Grey. The views expressed on this website are my own.
I received my PhD in computer science from Cornell University, advised by Daniel Lee. My research focused on manipulation, assistive robotics, and machine learning. My primary research question was “How can we make learned latent spaces more interpretable and more useful for robotics?” I investigated how regularization and architectural choices affect the performance of Varational Auto-Encoders in modeling demonstrated trajectories.
I received my masters degree in robotics from Carnegie Mellon University in 2019, working in Manuela Veloso's lab. At CMU, I was involved in two main projects related to the robotic manipulation of food. The Feedbot project, a collaboration with Instituto Superior Tecnico in Lisbon, Portugal, involved assistive eating. The other, a collaboration with Sony Corporation, involved robotic food preparation. For the assistive eating project, we were trying to improve the robustness of spoon-feeding robots for people living with upper-extremity disabilities by incorporating better visual feedback on the robot. For that project, I 3D-printed and wrote custom firmware for a Niryo One robot arm, and designed and incorporated an end-effector that could hold a spoon and a camera. For the food-preparation project, I worked to increase the efficiency of a food-plating robot. More details on the food-preparation project can be found in this IEEE Spectrum article.
I earned my undergraduate degree at Harvard, where I studied physics and mathematics. Between my undergraduate and graduate studies, I worked as a senior software engineer at Applied Predictive Technologies (now part of Mastercard Data and Services), writing cloud-based data analytics software.